Results 131 to 140 of about 22,751 (263)

A Novel Single‐Encounter‐Emphasise‐Attention Neural Network for Predictive Maintenance in Urban Infrastructure

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The Riyadh Metro represents a significant project in Saudi Arabia, designed to transform urban transportation and reduce traffic congestion within the city. With six metro lines and 85 stations, the network is expected to serve millions of passengers daily, necessitating innovative digitally driven maintenance approaches to ensure reliable ...
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley   +1 more source

Energy Flows Balance of Electric‐Heating Interconnected Microgrids Under Grid‐Forming Converter Integration Based on Heterogeneous Graph Convolutional Network

Energy Internet, EarlyView.
ABSTRACT The combination of electric‐heating interconnected microgrids (EHIMs) with grid‐forming converters (GFMCs) offers a highly promising approach to improving energy management within decentralised energy systems. Despite its potential, precisely modelling and analysing energy flow in such systems remains a considerable challenge due to the ...
Ji Li, Jinduo Yang, Yang Kou, Qingyuan Zhang, Xiao Hu, Yang Gao, Fei Fei Li, Wei Le Liang, Yiyan Li, Ming Li, Lei Xu, Kepaiyitulla Tursun, Yan Qing Peng, Ying Li Huo, Yun Shan Wang, Ze Zhen Zhang   +15 more
wiley   +1 more source

Artificial Intelligence in Intraoral Scanning: A Narrative Review

Australian Dental Journal, EarlyView.
ABSTRACT Intraoral scanning (IOS) enables the acquisition of three‐dimensional surface models of dental and oral structures, supporting diagnosis, treatment planning and digital workflows. However, many processing steps remain operator‐dependent and time‐consuming. The integration of artificial intelligence (AI) with intraoral scanning (IOS) represents
Camila Tirapelli, Bree Jones, Caio Uehara Martins, Bruna Neves de Freitas, Alessandra Alaniz Macedo, Ruben Pauwels   +5 more
wiley   +1 more source

Hyperspectral Multilevel GCN and CNN Feature Fusion for Change Detection

Hyperspectral image (HSI) change detection focuses on identifying differences in multitemporal HSIs. Graph convolutional networks (GCNs) have demonstrated greater promise than convolutional neural networks (CNNs) in remote sensing, particularly for ...
Chhaya Katiyar, Vidya Manian
core   +1 more source

Virtual cell construction for artificial intelligence‐driven drug discovery

British Journal of Pharmacology, EarlyView.
Cells are the fundamental units through which genetic variation and pharmacological perturbations influence disease processes and therapeutic responses. However, cellular responses to intervention are strongly shaped by biological context, creating a central challenge for drug discovery: predicting how specific perturbations reshape cellular systems ...
Yuran Jia, Xiao Xing, Haoyang Han, Yuansong Zhao, Shiyao Zhou, Jingjing Chen   +5 more
wiley   +1 more source

VQ‐Style: Disentangling Style and Content in Motion with Residual Quantized Representations

Computer Graphics Forum, EarlyView.
Abstract Human motion data is inherently rich and complex, containing both semantic content and subtle stylistic features that are challenging to model. We propose a novel method for effective disentanglement of the style and content in human motion data to facilitate style transfer.
Fatemeh Zargarbashi, Dhruv Agrawal, Jakob Buhmann, Martin Guay, Stelian Coros, Robert W. Sumner   +5 more
wiley   +1 more source

Mechanochemically synthesized MnO2-gCN nanocomposite for photocatalytic dye and phenol degradation: A combined experiment and DFT study

Micro and Nano Engineering
We present the large-scale synthesis of Manganese dioxide-graphitic carbon nitride (MnO2-gCN) nanocomposite using a mechanochemical process. Hydrothermally synthesized rod-shaped MnO2, combined with pyrolyzed gCN powder in appropriate proportions was ...
Rajkumar Mandal, Arka Mandal, Moumita Mukherjee, Nayan Pandit, Biswanath Mukherjee   +4 more
doaj   +1 more source

Beauty in the Eye of AI: Aligning LLMs and Vision Models with Human Aesthetics in Network Visualization

Computer Graphics Forum, EarlyView.
Abstract Network visualization has traditionally relied on heuristic metrics, such as stress, under the assumption that optimizing them leads to aesthetic and informative layouts. However, no single metric consistently produces the most effective results.
X. Li, P. Zhang, X. Wang, H. Shen, Y. Hu
wiley   +1 more source

"green stimulus,"economic recovery, and long-term sustainable development [PDF]

This paper discusses short-run and long-run effects of"green stimulus"efforts, and compares these effects with"non-green"fiscal stimuli. Green stimulus is defined here as short-run fiscal stimuli that also serve a"green"or environmental purpose in a ...
Strand, Jon, Toman, Michael
core  

Machine learning approaches in automated infant General Movements Assessment: A scoping review

Developmental Medicine &Child Neurology, EarlyView.
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur, Hamid Abbasi, Sîan A. Williams, Thor F. Besier, Angus J. C. McMorland   +4 more
wiley   +1 more source